01 / LANGUAGE CONTEXT
Text and terminology
Define the language variety, domain, writing conventions, terminology, registers, and real-world contexts that should be represented in the project.
Commissioned language and text data
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Nigerian language data for AI that needs local context.
Build a language-data project around the language variety, domain, task, writing conventions, and quality requirements your model must handle. BSG DataWorks scopes text collection, linguistic annotation, and native-speaker quality review for teams that need evidence-ready Nigerian language data rather than a generic corpus.
Project scope
Commission language data around the context your model actually needs.
Language work is scoped to a written form, domain, linguistic task, and evaluation need. We confirm what is practical for the requested brief before committing to collection, preparation, or delivery.
02 / LINGUISTIC TASK
Annotation and enrichment
Specify the labels, guidelines, taxonomy, metadata, translation, transcription, or review steps that make the data useful for the intended model task.
03 / REVIEW ROUTE
Native-speaker QA
Agree the linguistic review process, quality criteria, acceptance checks, and issue-escalation route before delivery.
AI use cases
Language data for tasks that cannot be solved with a generic English corpus.
Tell us what the model must understand, classify, retrieve, generate, translate, or support. We use the task to shape the data brief, rather than assuming one language dataset fits every use case.
Text classification
Build task-relevant examples, labels, and guidelines for categories such as intent, topic, sentiment, safety, or support-routing workflows.
Entity and information extraction
Prepare text and annotation guidance for named entities, terminology, attributes, relations, or other structured information relevant to the project domain.
Search, retrieval, and assistants
Scope queries, answers, terminology, contextual examples, and evaluation material for systems that need to handle local language use appropriately.
Translation and language evaluation
Define parallel-text, linguistic-review, correction, or benchmark requirements around the language pair, domain, and quality standard you need to assess.
Technical and quality requirements
Specify the linguistic detail that makes the dataset usable.
A good language-data brief captures more than the language name. It explains the text source, domain, register, conventions, annotations, metadata, and review method needed for the target AI task.
Language and source specification
- Language variety, written form, and intended audience
- Domain, use case, topic boundaries, and exclusions
- Original text, commissioned collection, or existing-source route
- Representational needs agreed for the project
Orthography and linguistic conventions
- Spelling, punctuation, diacritic, script, and formatting expectations
- Rules for code-switching, borrowed terms, abbreviations, or variants
- Terminology and style references supplied or agreed for the brief
- Version control for any evolving guidance
Annotation and metadata
- Task-specific label schema and written annotation guidance
- Document, utterance, span, or token-level requirements as needed
- Metadata fields relevant to the buyer's evaluation route
- Sample review and issue-handling process
Quality and governance evidence
- Native-speaker review and agreed acceptance criteria
- Source, consent, or rights documentation appropriate to the scope
- Provenance notes and data-handling questions visible to reviewers
- Delivery structure agreed with the buyer
From language brief to delivery
A practical path for language-data projects.
We start with the linguistic and product context, then turn it into an operational specification that collection, annotation, quality, and governance teams can work from.
Define
Clarify the language variety, project domain, intended model task, user context, and the data type or source route you need.
Design
Agree the data schema, examples, writing conventions, metadata, review approach, and evidence requirements before production work begins.
Prepare
Collect, organise, annotate, translate, transcribe, or review the scoped material with the agreed quality controls.
Deliver
Provide the dataset and the agreed documentation in the format, structure, and delivery route required for the project.
Frequently asked questions
Questions about Nigerian language data.
Which Nigerian languages can you support?
Tell us the language variety, written form, domain, task, and required quality standard. We assess the project brief and confirm the practical scope before making a commitment; this page does not claim a ready-made catalogue for every language.
Can a project include code-switching, diacritics, or local terminology?
Yes—when these are included in the brief and reflected in the written guidance. The project should state how language variants, code-switching, orthography, diacritics, terminology, and exceptions are to be represented and reviewed.
Is this page for text data only?
This page focuses on language and text data. If the project also needs voice recordings or speech transcripts, the speech-data route can be scoped alongside it. See the African Speech Data page for the related voice-data route.
Can you annotate language data we already have?
Yes. If you already hold the source material, we can discuss an annotation and labelling scope around an agreed taxonomy, guidance, quality process, and delivery structure. See the Annotation and Labelling Services page.
How do consent and provenance apply to language data?
The right documentation depends on the actual source route and project facts. We can make source, consent, rights, provenance, and buyer-review questions visible in the project scope; a buyer should obtain independent professional advice for its particular legal and governance obligations.
Start with the language context
Start a Nigerian language-data brief.
Send the requirements you know. We will help turn the language, task, and quality context into the right next conversation.
A useful first email includes
- Language variety, written form, and intended model or product use
- Domain, audience, register, terminology, or real-world context
- Whether you need new text, existing-source preparation, annotation, or a combination
- Target volume, output format, metadata, and quality requirements
- Rules for diacritics, variants, code-switching, translation, or transcription, if relevant
- Rights, governance, delivery timing, and procurement context, if known
If you do not have all of this yet, send what you have. We will help clarify the remaining questions on a call.
Prefer to write directly? dataservices@bsgdataworks.com
WhatsApp only: +234 806 790 4903